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Record W1969265974 · doi:10.3138/md.47.3.480

"Before" and "After" in Stoppard's <i>Arcadia</i>

2004· article· en· W1969265974 on OpenAlexvenueno aff
Hanna Scolnicov

Bibliographic record

VenueModern Drama · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicLandscape and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcadiaDramaArtPlot (graphics)Reading (process)Relation (database)Close readingExcellenceLiteraturePhilosophyEpistemologyComputer scienceLinguisticsMathematics

Abstract

fetched live from OpenAlex

The title of Tom Stoppard's Arcadia, seemingly unconnected with its plot, provides the most important clue for the reading of the play. Arcadia is the neoclassical cultural site par excellence. By choosing to call his play by that name, Stoppard places his work within a rich tradition of art works in various medial by various artists, from Virgil to Poussin and beyond. Some of these works are explicitly alluded to in the play; others are referred to only obliquely. The title positions this very modem drama within an almost infinite line of backward-looking, neoclassical regressions, hearkening back all the way to classical antiquity. In what follows, I provide an intertextual and intermedial reading of the play in relation to this environment of ideas and works on the landscape of Arcadia. Arcadia not only is the implicit focus of many of the discussions of landscape gardening in the play but also serves as the unseen vanishing point of the play's theatrical space, and the et in Arcadia ego motif is finally discovered to provide a model for the plot.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0150.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.199
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2004
Admission routes1
Has abstractyes

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